Language learning system based on big data word segmentation and public opinion detection

Based on the in-depth study of language learning and the full understanding of the rules of memory, we design a language learning system, which aims to solve the problems that people have difficulty in memory and can not get reasonable evaluation in the process of language learning. This system is based on big data word segmentation and public opinion monitoring technology, combined with language synthesis system and computer evaluation system. In terms of learning style, it is more efficient than the current traditional language learning; In the aspect of reading evaluation, it is more objective and stable than manual evaluation results, and can generate detailed evaluation report quickly. Experimental results show that the design scheme achieves the expected goal.